1 to 25 of 511 Remote SQL Jobs in London

small team as well as independently, exercising discretion in technical decisions A strong understanding of Agile software development Excellent communication and stakeholder collaboration skills Desirable Additional languages ( PHP, .Net, SQL, Python ) Familiarity with JIRA, GitHub, Confluence, Figma, Miro, Okta/Auth0 Experience with integrations and API construction Relevant degree/technical qualification or professional body membership Interest in DevOps, SecOps More ❯

systems and processes. Required Qualifications: 5+ years of experience in data engineering or a related field. Proficiency in Python and PySpark for data processing and automation. Strong command of SQL for data querying, transformation, and performance tuning. Deep experience with cloud platforms , preferably AWS (e.g., S3, Glue, Redshift, Athena, EMR, Lambda). Experience with Azure or GCP is a plus. More ❯

Selenium, Appium). Experience writing automated tests using C# testing frameworks such as MSTest. Experience of testing high-transactional systems or ecommerce APIs. Experience querying and validating data with SQL (SQL Server and T-SQL preferred). Exposure to performance/load testing tools for APIs (k6/Jmeter). Understanding of broader testing areas such as accessibility, security, or More ❯

AI/ML integration proficiency (NLP, recommendation systems) Compliance awareness Cloud deployment experience (Azure/AWS) - highly desirable Backend development using other languages such as Python, Java - highly desirable SQL/NoSQL database design & optimisation - desirable DevOps (CI/CD pipelines, Docker, Kubernetes) - desirable TO BE CONSIDERED... Please apply directly by emailing with your CV and availability. KEYWORDS: Contract .NET More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong More ❯

years' experience in data modelling. Advanced level in application-based data modelling and ETL. Strong background in data analysis, cleansing, enrichment, metadata management, and data innovation. Proficiency in SQL and MySQL. Experience with business intelligence tools: Power BI, Sisense, Quicksight. Hands-on experience with ETL tools, ideally Sagemaker Unified Studio. Ability to validate, test, and build data engineering solutions. Strong More ❯

collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation More ❯

collaborates seamlessly across data, commercial, and ops teams. Hard Skills Required Programming & Data Science: Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch) essential; R (desirable) Data Engineering & Cloud: Advanced SQL, ETL/ELT tools (Airflow/dbt), AWS/Azure/GCP Machine Learning & AI: Classification, regression, clustering, forecasting; NLP (text mining, sentiment, LLM fine-tuning); GenAI frameworks Analytics & Visualisation More ❯

learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or More ❯

learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or More ❯

learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or More ❯

learning concepts and statistical methods Strong analytical and problem-solving skills Good communication skills, with the ability to explain technical findings in simple terms Nice to Have: Experience with SQL or databases Exposure to data visualisation tools (e.g., Tableau, Power BI, matplotlib, seaborn) Understanding of cloud platforms (AWS, GCP, or Azure) Previous internship or project work in data science or More ❯

and attention to detail. Excellent communication skills with the ability to work across technical and business teams. Competence in Microsoft tools (Excel, SharePoint); experience with JavaScript, C#, HTML, or SQL beneficial. Familiarity with agile methodologies and structured delivery. For senior roles: proven track record in leading projects, mentoring, and delivering scalable enterprise solutions. What We're Looking For A collaborative More ❯

and attention to detail. Excellent communication skills with the ability to work across technical and business teams. Competence in Microsoft tools (Excel, SharePoint); experience with JavaScript, C#, HTML, or SQL beneficial. Familiarity with agile methodologies and structured delivery. For senior roles: proven track record in leading projects, mentoring, and delivering scalable enterprise solutions. What We're Looking For A collaborative More ❯

Node.js, and in event-driven and eventual consistency systems using Kafka, .Net, Java, REST APIs, AWS, Terraform and DevOps Nice to have:experience in data pipping and modelling using SQL, DBT, ETL, Data Warehousing, Redshift and Python, and ecommerce and mobile applications background Additional Information Were a community here that cares as much about your life outside work as how More ❯

tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative More ❯

Collaborate with clients, solution architects and other engineers to help meet the client goals. Proven experience in development and maintenance of a cloud-based data warehouse. Strong experience with SQL and relational databases (preferably postgres); working with Change Data Capture is a bonus. Data modelling knowledge, breaking down backend logic to understand and form a holistic data model (ie 3NF More ❯

data quality, support strategic decision-making, and enhance the organisation's data landscape. This is a permanent role, based in London and is hybrid working. Requirements : Advanced proficiency in SQL and intermediate Python skills Proven experience with Power BI for data visualisation Hands-on experience with cloud-based platforms and data warehousing tools (e.g., Google Cloud Platform, Big Query) Proven More ❯

5+ years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. Nice-to-haves: Background More ❯

of internal and client operations. Work with cloud infrastructure (AWS, GCP). Collaborate with clients, architects, and engineers to meet goals. Proven experience with cloud-based data warehouses. Strong SQL and relational database skills (preferably Postgres); CDC experience is a bonus. Knowledge of data modeling (3NF, star schema, Data Vault). Experience with Python, TypeScript, or Java (Java learning expected More ❯

tools such as Power BI, Azure Data Explorer, and Azure AI Services. Qualifications Key Competencies Demonstrable experience in data science, machine learning, or a related field. Proficiency in Python, SQL, or other programming languages for data analysis and machine learning. Experience with cloud platforms and services, preferably Azure, for data science and machine learning Experience with one or more generative More ❯

of financial and commercial data where needed, streamlining reporting processes. Skills and Experience Some experience with a Business Intelligence tool such as Looker, Tableau, Power Bi or similar Good SQL skills, you know your way around a database. Some exposure to a cloud-based data warehouse such as Snowflake, Redshift, Big Query or similar. Some knowledge of ETL/ELT More ❯

field. ISTQB Certification or equivalent. Essential skills Solid understanding of software development life cycles (SDLC) and testing methodologies (Agile, Waterfall). Strong analytical and problem-solving skills. Familiarity with SQL for database validation. Excellent communication and collaboration skills. Attention to detail and a methodical approach to work. Proficiency in using test management and defect tracking tools (e.g., JIRA, TestRail, HP More ❯

.NET Developer, C# - Financial Consultancy - London (Tech stack: .NET Developer, .NET 9, ASP.NET, C#, React, Angular 19, Microservices, Azure, WPF, MVVM, Prism, Agile, Azure SQL, Programmer, Full Stack Engineer, Architect, .NET Developer) Established in the early 1970s, our client delivers cutting edge I.T solutions to banks. With over 70,000 employees in over 50 countries and strong partnerships with some More ❯

Your experience and Skills Strong performance with a numerical degree ideally mathematics or economics. Is eager to learn and grown into the field of data A basic proficiency in SQL for data extraction and querying would be useful. Experience with data visualisation tools such as Tableau, Power BI, or Metabase would be beneficial. Articulate and confident communicator, skilled at conveying More ❯